{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 11,
   "metadata": {},
   "outputs": [],
   "source": [
    "import numpy as np\n",
    "import matplotlib.pyplot as plt\n",
    "plt.rcParams['font.sans-serif'] = ['SimHei']  # 用来正常显示中文标签\n",
    "plt.rcParams['axes.unicode_minus'] = False  # 用来正常显示负号"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "n = 12\n",
    "X = np.arange(n)\n",
    "y1 = (1 - X / float(n)) * np.random.uniform(0.5, 1, n)\n",
    "y2 = (1 -X / float(n)) * np.random.uniform(0.5, 1, n)\n",
    "\n",
    "plt.bar(X, y1, edgecolor='white')\n",
    "plt.bar(X, -y2, edgecolor='white')\n",
    "for x, y in zip(X, y1):\n",
    "    plt.text(x - 0.4, y + 0.1, '%.2f'%y)\n",
    "\n",
    "for x, y in zip(X, -y2):\n",
    "    plt.text(x - 0.4, y - 0.1, '%.2f'%y)\n",
    "\n",
    "ax = plt.gca()\n",
    "ax.spines['top'].set_color('none')\n",
    "ax.spines['right'].set_color('none')\n",
    "ax.xaxis.set_ticks_position('bottom')\n",
    "ax.yaxis.set_ticks_position('left')\n",
    "ax.spines['bottom'].set_position(('data', 0))\n",
    "ax.spines['left'].set_position(('data', 0))\n",
    "ax.plot(1, 0, \">k\", transform=ax.get_yaxis_transform(), clip_on=False)\n",
    "ax.plot(0, 1, \"^k\", transform=ax.get_xaxis_transform(), clip_on=False)\n",
    "plt.xticks(())\n",
    "plt.yticks([0],[0])\n",
    "plt.title(\"上下柱状图以及在柱上方标注数据\")\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "species = ('Adelie', 'Chinstrap', 'Gentoo')\n",
    "sex_counts = {\n",
    "    'Male': np.array([73, 34, 61]),\n",
    "    'Female': np.array([73, 34, 58]),\n",
    "}\n",
    "width = 0.6  # the width of the bars: can also be len(x) sequence\n",
    "\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "bottom = np.zeros(3)\n",
    "\n",
    "for sex, sex_count in sex_counts.items():\n",
    "    p = ax.bar(species, sex_count, width, label=sex, bottom=bottom)\n",
    "    bottom += sex_count\n",
    "\n",
    "    ax.bar_label(p, label_type='center')\n",
    "\n",
    "ax.set_title('柱状图数值叠加，在柱中进行标注')\n",
    "ax.legend()\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 22,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# Fixing random state for reproducibility\n",
    "np.random.seed(19680801)\n",
    "\n",
    "# Example data\n",
    "people = ('Tom', 'Dick', 'Harry', 'Slim', 'Jim')\n",
    "y_pos = np.arange(len(people))\n",
    "performance = 3 + 10 * np.random.rand(len(people))\n",
    "error = np.random.rand(len(people))\n",
    "\n",
    "fig, ax = plt.subplots()\n",
    "\n",
    "hbars = ax.barh(y_pos, performance, xerr=error, align='center')\n",
    "ax.set_yticks(y_pos, labels=people)\n",
    "ax.invert_yaxis()  # 颠倒y轴标注的排序\n",
    "ax.set_xlabel('Performance')\n",
    "ax.set_title('水平柱状图，用误差条进行标注')\n",
    "\n",
    "# Label with specially formatted floats\n",
    "ax.bar_label(hbars, fmt='%.2f')\n",
    "ax.set_xlim(right=15)  # adjust xlim to fit labels\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 23,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "# data from https://allisonhorst.github.io/palmerpenguins/\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import numpy as np\n",
    "\n",
    "species = (\"Adelie\", \"Chinstrap\", \"Gentoo\")\n",
    "penguin_means = {\n",
    "    'Bill Depth': (18.35, 18.43, 14.98),\n",
    "    'Bill Length': (38.79, 48.83, 47.50),\n",
    "    'Flipper Length': (189.95, 195.82, 217.19),\n",
    "}\n",
    "\n",
    "x = np.arange(len(species))  # the label locations\n",
    "width = 0.25  # the width of the bars\n",
    "multiplier = 0\n",
    "\n",
    "fig, ax = plt.subplots(layout='constrained')\n",
    "\n",
    "for attribute, measurement in penguin_means.items():\n",
    "    offset = width * multiplier\n",
    "    rects = ax.bar(x + offset, measurement, width, label=attribute)\n",
    "    ax.bar_label(rects, padding=3)\n",
    "    multiplier += 1\n",
    "\n",
    "# Add some text for labels, title and custom x-axis tick labels, etc.\n",
    "ax.set_ylabel('Length (mm)')\n",
    "ax.set_title('分组柱状图')\n",
    "ax.set_xticks(x + width, species)\n",
    "ax.legend(loc='upper left', ncols=3)\n",
    "ax.set_ylim(0, 250)\n",
    "\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 2,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 920x500 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "category_names = ['Strongly disagree', 'Disagree',\n",
    "                  'Neither agree nor disagree', 'Agree', 'Strongly agree']\n",
    "results = {\n",
    "    'Question 1': [10, 15, 17, 32, 26],\n",
    "    'Question 2': [26, 22, 29, 10, 13],\n",
    "    'Question 3': [35, 37, 7, 2, 19],\n",
    "    'Question 4': [32, 11, 9, 15, 33],\n",
    "    'Question 5': [21, 29, 5, 5, 40],\n",
    "    'Question 6': [8, 19, 5, 30, 38]\n",
    "}\n",
    "\n",
    "\n",
    "def survey(results, category_names):\n",
    "    \"\"\"\n",
    "    Parameters\n",
    "    ----------\n",
    "    results : dict\n",
    "        A mapping from question labels to a list of answers per category.\n",
    "        It is assumed all lists contain the same number of entries and that\n",
    "        it matches the length of *category_names*.\n",
    "    category_names : list of str\n",
    "        The category labels.\n",
    "    \"\"\"\n",
    "    labels = list(results.keys())\n",
    "    data = np.array(list(results.values()))\n",
    "    data_cum = data.cumsum(axis=1) # 每个问题都累加不同回答的人数\n",
    "    category_colors = plt.colormaps['RdYlGn'](\n",
    "        np.linspace(0.15, 0.85, data.shape[1])) # 为类别选择颜色，data.shape[1]为类别的个数\n",
    "\n",
    "    fig, ax = plt.subplots(figsize=(9.2, 5))\n",
    "    ax.invert_yaxis()\n",
    "    ax.xaxis.set_visible(False)\n",
    "    ax.set_xlim(0, np.sum(data, axis=1).max())\n",
    "\n",
    "    # 所有问题的柱状图一起按照回答的种类横向生长\n",
    "    for i, (colname, color) in enumerate(zip(category_names, category_colors)):\n",
    "        widths = data[:, i] # 当前柱的横向长度\n",
    "        starts = data_cum[:, i] - widths # 当前柱的横向起点\n",
    "        rects = ax.barh(labels, widths, left=starts, height=0.5,\n",
    "                        label=colname, color=color)\n",
    "\n",
    "        r, g, b, _ = color\n",
    "        text_color = 'white' if r * g * b < 0.5 else 'darkgrey'\n",
    "        ax.bar_label(rects, label_type='center', color=text_color) # 在柱中添加标注\n",
    "    ax.legend(ncols=len(category_names), bbox_to_anchor=(0, 1),\n",
    "              loc='lower left', fontsize='small')\n",
    "\n",
    "    fig.suptitle(\"用横向柱状图表示离散分布\")\n",
    "    return fig, ax\n",
    "\n",
    "\n",
    "survey(results, category_names)\n",
    "plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 13,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "Text(0.5, 1.0, '极坐标绘制柱状图')"
      ]
     },
     "execution_count": 13,
     "metadata": {},
     "output_type": "execute_result"
    },
    {
     "data": {
      "image/png": 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YDLhcLp555pkeZm9sbCwRERGEhoZiNBoxGo0olUp0Op3neWhoKDExMURFRXmuU6vVPP7440iS5OV7/8ILL2Cz2XjwwQc9fetCpVLx85//HJ1OR01NDQChoaE4HA6++uorXn31Ve644w6KiopwOp3cd9993HfffSxdupTAwEDS0tJ45plnvPrfl4B27drFBx984BHixo0be/XPB3j77bfRarUej7ihkpCQwL59+0hLS/N85q52Nm3axNatWz033ccff5xDhw7x3HPP9WjnVM/IH//4x/ziF78gMzOTRYsWedZfujOYG8j5gn+OfwoOhwOTycSdd95JXV0dL7zwAocOHeKhhx6iqqqKXbt2YTKZuPrqq/nqq688awOVlZU93HOhc7GrubnZaz8bOvfE7XY7kyZN8hrNHQ6HJ1jkscce44orrsDpdPKb3/yGLVu2EBYW5jn3rrvu4u677wY657LTp0/3rB3MmzeP+fPnExYWxsqVK8nJyeGpp57i888/p6mpiYiICN59910yMzM9++unjuJdoqutreXYsWM9LBKHw0FlZSUxMTGeY11Wg8PhwG63A9De3k5ZWZkn5qBrr7+0tBSbzYYsy9jtds9aRHcPOqfTicvlorm5mVWrVvHd736XOXPmADBhwgQeffRRfvOb32A0Gr0sDZfLRU1Njdf3vnjxYhYvXkxpaSn19fVer3W9zwXDWZtkjFIuu+wycfvtt4t169aJjz/+WKxbt04A4uabbxZ1dXWe80pKSsSyZcvEK6+8It59912hUqmEXq8XISEhg3oYDAahVCp7eAA+//zzYtasWT36tXDhQnH11VeLrVu39tn3P/7xj2Lnzp1eHmxCCDFhwgQREhIili1bJu666y7x5JNPij/84Q9i2rRp4rvf/a7nPJfLJVpaWoTb7RZCCJGSkiIeeughry3FLvbs2SN0Op1YsGCBl9ddF88884xnPWLbtm1Cr9cLo9EowsPDezyMRqMIDg7u9TONGzdOrFq1SsyZM0eEhYWJqqoqr9etVquYO3eukCRJfPLJJ57jarV60OstXY/+tgfPN/zCHwTdXXC7I8uy1z78aKWioqLXfm7evFns27dv2O123SBOJykpKWLVqlXi9ttv73Mhr7m5Wbz55ptexyRJ8lrcG4jU1FTx8ssv+9TXcwlJCH8lHT/nH4WFhcTFxWEwGM52V0YlfuH78XMB4l/V9+PnAsQvfD9+LkD8wvfj5wLEL3w/fi5A/ML348FsNnPLLbdw7733snbt2rPdHT+nEb/wz1NWr15NRkYGRqORW2+9lcbGRqDTw2/27NmEhobyxBNPeLnVbtiwge9+97u8+eab7Nu372x13c8ZwC/885Cvv/6ahx9+mD/84Q8cPXqUtrY2rr/+eux2OytWrGDWrFkcOHCAnJwc3nrrLc9148ePZ/v27WzevPmCyjh7IeLfxz8PufPOOwkJCeGVV14BICcnh8mTJ/Of//yH++67j8rKSgwGA5mZmTz00EPs2rXLc+3evXspKCjgpptu6jU6zs/5gT9I5zyksbHRK/lGV9BLVlYW8+bN83izTZ06lZycHK9r582bx7x5885cZ/2cFfym/nnIzJkz+fzzzz1hpm+99RazZ8+mra2NlJQUz3mSJKFUKnstruHn/MY/4p+HPP7442zfvp2ZM2ei1+vZu3cv//znP8nOzkar1Xqdq9PpsFgshIaGnqXe+jkb+Ef88xCj0cjOnTv597//zbRp05g4cSK33XYbYWFhNDQ0eJ1rNpv9C3kXIH7hn8fExcXxySef8Lvf/Q6lUsns2bO9CmaWlJRgt9u9knv4uTDwC/885pVXXmHixImeyr5Lliyhra2N1atXA50lvC+55JILq2acH8C/nXfe0tLSQlpaGhs2bGD27Nme42vXruXWW29Fr9ejUCjYtm1bjwo7fs5//MK/AKmtreXgwYPMmzeP8PDws90dP2cBv/D9+LkA8c/x/fi5APEL34+fCxC/8P34uQDxC9+PnwsQv/D9+LkA8Qvfj58LEL/w/fi5APEL34+fCxC/8P34uQDxC9+PnwsQv/D9+LkA8Qvfj58LEH/qrfMQIQTl5eVUVlZSU1NDTU0N1dXVXv+vra3FZrPhcrk8D0mSUKlUnkdISAhxcXHExsYSGxvr9f/Y2FhSUlL8KbvOUfzReec4sixTVFTEwYMHPY9Dhw7R3t5OTExMn6KNiYkhICAAlUqFWq1GlmW2bNnC4sWLkSQJp9OJyWTqccPo+n9NTQ3Nzc2MGTOGWbNmeT38ob6jH7/wzzEcDgfbt29n06ZNHDhwgEOHDmGz2Zg2bRozZ870iC8jIwOFQoHdbsdms3k9uo653W6EEMiyjCzLmM1mQkJCUCgUKBQK1Go1Op0OrVaLTqfzPLRaLVqtlpaWFg4dOsShQ4c8N53i4mKSk5OZNWsW8+fP5+qrr2bixIlIknS2vzo/3fAL/xygubmZ9evXs3btWjZs2EBQUBBXX301c+fOZdasWaSnp+NyuTCZTJhMJlpbWzGZTDgcDiRJ6lO8KpUKhUKBJEm43W4OHjzIzJkzUSgUyLKM0+ns9YbhcDgACAgIwGg0eh4hISG0t7d7bgQ7duxg8+bNJCQksHLlSlasWMGiRYtQqfwzzLPNOS98k8nE8ePHGT9+/KDnm263m/vvvx9Jkpg3bx733Xffae7l0CkoKGDt2rWsXbuW3bt3M3XqVFauXMnKlSuZOnUqjY2NNDc3e4TudDoJCgryCNBoNBIQEIBGoxnUaOt0Olm/fj1XXXUVarW633NlWcZms2E2mz03G5PJhM1m87oZREZGolQq2bx5M+vWrWPdunU4nU6uvPJKVq5cyZVXXklwcPBIfWVnBLPZzKpVqwgICODaa69l5cqVZ7tLw0OcIzQ0NIgxY8aIkpISz7GPPvpIhISEiIyMDGEwGMRHH33kee3HP/6xADyP1NRUz2v79+8X//M//yOEEOK///u/z9hnGIiOjg7x1ltviYULFwqNRiOuuOIK8Ze//EWUl5cLq9UqSktLxd69e8W6devEpk2bxKFDh0RxcbFobm4WLpfLp/d2OBzis88+Ew6HY9ht2Gw2UVtbK/Ly8jz93Lhxo8jMzBR1dXXC4XCIvXv3iv/+7/8WGRkZQq/Xix/84Adi9+7dQpZln/rvK5dffrlYvXq1EEKIFStWeP12li9f7jnvo48+Eh9++KEQYnT9dobKOWFzNTY2cs0111BaWuo51trayo9+9CN27NjB1KlTeeutt3jiiSe46aabADhw4ABffPEFCxYsAPDKJJucnMzhw4fZtWsXNpvtjH6W3sjLy+PPf/4z7777LgkJCaxatYo1a9agVqupra2lpKSEw4cPYzQaiYmJYdKkSQQFBY26ebNWqyU6Opro6Gig07JqbGyktraWw4cP43Q6iY6O5sEHH+TXv/41eXl5vP7661x11VXEx8fz4IMPctdddxEUFHRG+/3ee++xceNGbrnlFqDzt5OVlUVCQgKAlwU0fvx4/v73vxMeHn5u1yM423eewbB8+XLx8ssvC8Az4peXl4t3333Xc05mZqYIDAwUQgjhdDpFcHCwMJvNfbaZlZUl3nzzTdHS0nI6u94nbrdbrF+/Xlx++eVCq9WKO+64Q3zzzTfCbreLoqIisWXLFrFu3Tqxd+9eUVpaKqxW62ntz0iM+P0hy7JoaWkReXl5YuvWrWLNmjVi3759oq6uTnR0dIi3335bzJ49WwQHB4tHH31UFBUVnZZ+nEpTU5OIjo4WEyZMEKtXrxaVlZUiJiam32v27Nkj/vnPf572v8np5JwQfnFxsRBCeAm/Ow6HQ9x1113ijjvuEEIIcejQIREYGChSU1OFTqcTl19+uSgrKzuTXe4TWZbF2rVrRUZGhoiOjha/+c1vRE1NjWhubhYHDx4Ua9euFdu3bxelpaXC6XSesX6dbuGfSnt7uzh27Jj48ssvxcaNG0VeXp6wWq3im2++Ed/73veERqMR3//+9z1/+9PFXXfdJR588EHxgx/8QKxevVp88sknIjIyUsTHxwuDwSC+973viebm5tPah7PBOeG5173Q46lkZmYSExPDhg0b+NOf/gR0loWeMGEC77zzDkePHkWlUnH//fefqe72ya5du1i8eDH33nsv999/PyUlJdx3333k5+eze/duVCoVS5cuZcmSJSQnJ5/Xq98BAQGkp6dz2WWXkZGRQWNjI1999RU6nY7XXnuN/Px81Go16enpPPzww9TX1494H7Zu3crmzZt58cUXPcfy8vKYNm0aX3zxBXv37qWkpISf//znI/7eZ52zfecZCvQy4suyLA4cOCAWL14sbrjhhl6vKysrEwqFQrS2tp6BXvbk6NGj4pprrhGBgYHiN7/5jWhtbRXl5eVi06ZNYtOmTaKgoOCMjbR9caZH/N5obW0Vhw8fFuvWrRN79uwRJpNJZGdni5UrV4rAwEDxq1/9asT+hlarVYwbN058/vnnQgjhGfFPZfv27SI8PHxE3nM0cU6M+P0hSRKzZs3i7bff5pNPPsFkMvU4JyoqClmWqampOaN9Kysr4wc/+AFz5sxh7NixFBYW8sADD3Dw4EFyc3OZMGECl1xyCWlpaQNuoV0IBAcHM336dC699FICAgLYsWMHNpuN999/nw0bNrBlyxZSU1N5+eWXsdvtPr3Xs88+y+zZs7n66qv7PS8qKoqmpiaf32/UcbbvPEOBbiP+tm3bxOOPP+55rbKy0jOqP/744+K9997zvLZlyxahUChER0fHGemny+US//d//ycMBoO4/fbbRXFxsWhqahI7d+4U69evF4WFhT5vv400o2HEP5WOjg5x4MABsXbtWnH06FFhtVrF559/LqZMmSImTJgg9uzZM+y2x4wZIwICAkRISIgICQkRarVa6PV6sWzZMrFz507Pef/4xz9EdHT0SHycUcU5O4ns2lYZN24cV155Jb/85S+57LLLCA4OZtq0afzyl78kOjoat9vNj3/8Y+68804MBsNp71d+fj5333039fX1bNy4kalTp5Kbm8uxY8dIS0tj7ty5/tF9kBgMBmbNmkVaWhq5ubl8/fXXpKWlsX//fl5++WWWL1/Of/3Xf/H000+j0+mG1PbOnTtxuVye548//jjz5s3DZrPx2GOP8Yc//IHGxkZ+/vOf88Mf/nCkP9rZ52zfeYYCp8zxN23aJNLT00VQUJC48cYbRX19vee1J598UoSEhIiwsDDx8MMPi/b29tPaN5fLJX7/+98Lg8EgHn30UWE2m0Vubq5Yt26dyMzMHPVbP6NxxD+VxsZGsX37drFp0yZRX18vjh07JmbPni0mTZok9u3b51PbXXN8h8Mh7rnnHhEQECBiYmLE008/fUZ3V84U55TwRyvHjx8XCxcuFGlpaWLHjh3CZDKJrVu3is2bN581P4Ghci4IX4jOxdyioiKxbt06ceTIEWG1WsXvfvc7YTAYxM9+9rNRf4MdLZzzi3tnEyEEr7zyCjNnzuSiiy7i8OHDREVFsXPnTqKjo1m6dClGo/Fsd/O8QpIkxo4dy8UXX4zZbGbnzp3cd9997N+/n82bNzNr1iyOHDlytrs56jln5/hnG5vNxgMPPMDXX3/N+vXrmT59OgcOHECWZRYtWuQX/GkmICCAhQsXUlJSwt69e0lKSmLnzp28+OKLLF68mH/84x8e920/PTnno/POBjU1NVx//fUIIfjkk0+w2Wzk5uaSmprK+PHjveICRhOyLHtCa+12O3a73ROT73K5yMvLIz093ZOBp3sor1qtHnWxAV10dHRw+PBhrFYrs2fPZufOndx+++088sgj/OY3v0Gh8Bu2p+IX/hD59ttvue6661i+fDl//etfOX78OA0NDcyePZuwsLCz3T2gM8S2KybfZDLR3t7uETuARqPxxOQrlUokSUIIQW1trSfAxul0eiXsUCgU6HQ69Ho9wcHBntDbwMDAUSEsIQQFBQXk5+czY8YMTCaTJ4T5nXfeITAw8Gx3cVThF/4Q+Ne//sX999/P008/zY9+9CO+/fZbAObMmTPk7aSRxGKxUFtb64nP7+joQKfTecQZFBTklYSjN6H2FY/fZQ103TgsFovnptLa2grguRFERkYSGRl5Vl2Na2trOXjwIGPHjiUyMpLvfe97NDQ0sGbNmn5dvy80/HP8QSDLMr/4xS/461//yscff8y8efPYsWMHERERTJ8+/Yyb9kIITCYTtbW11NbWYjabCQ8PJyIigsTEREJCQkbsRiRJEmq1GrVa3SNcVghBe3u7x7I4duwYVquVyMhIYmJiiI6ORq/Xj0g/BktMTAyLFy9m//79mM1mPv/8c372s58xe/Zs/v3vf7Ns2bIz2p/Rin/EHwC32829997Lrl27+PzzzwkMDOTIkSNMnDiR1NTUMzrvNZlMlJWVUVNTg9vtJjo6mpiYGKKionyODR9KBp7+MJvNnhtSS0sLwcHBJCQkkJiYiFar9amPQ8HhcPDtt9/icDiYO3cu7733Ho8++igffPABK1asOGP9GK34hd8PTqeTO++8k8zMTL7++mtaW1spLi7moosu8syFTzcul4vKykpKS0tpb28nISGB+Ph4wsPDR3RuPVLC747dbqeuro6Kigqam5uJiYkhJSWF8PDwM3LDlGWZ7OxsqqqqmDt3Llu3buXOO+/kn//8JzfccMNpf//RjN/U7wOHw8Ett9xCUVERW7dupb6+nurqapYsWXJGMsRYLBZKSkooKyvDYDAwZswY4uPjzyl3X61WS1JSEklJSbS3t1NWVsb+/fvR6/WMHTuWhISE0zpNUigUTJ06lcDAQPbs2cPSpUv58MMPueWWW7Db7dx2222n7b1HO37h94LL5eK2227j2LFjvPHGG9TU1FBfX8+iRYsICAg4re9tt9vJz8+ntLSU6Oho5syZc8ZGyNNJYGAgkydPZsKECVRWVlJYWMjx48eZOHEiiYmJp/XzjR07FqVSyd69e5kxYwa/+tWvWLVqFSqViptvvvm0ve9oxm/qn4Lb7ebOO+/k6NGjrFu3juzsbBQKBUuXLkWvMyMpIpGkkR+lnE4nRUVFFBYWEhERQXp6+mnNQCuEoKijCpfswiXcyC43JbtyGbdkChq1BqWkQC2pCFDpCFAZ0ChGdowQQlBZWUleXh5KpZJJkyYRExNzWm8AJSUlHD16lPDwcFpbW7n55pt57733uO66607be45W/MLvhhCC++67j927d7Nt2zbq6uqoq6tDlmXi44IZN+YASnUqKt2VSNLIzK9lWaa0tJTjx48TGBhIenr6GalEI4Tg/fJNyELuPOAWBGU7MWeoQdlTfBqlmkClngCVnjBNMJHaUMK1Iah9vCG43W7KyspO++e32+2eLEdtbW3MnTuX3bt38/3vf5///Oc/XHHFFSP+nqMZv/C78fzzz/Paa6+xe/duT/moRYsW4XKWsmdPLtFR7UxIbUKlzUClvdTn0clkMnH48GGEEKSnpxMdHX1GTfp/V2zB5j6RYGIA4feGJIFRHUSE1kiMLpxYfeSwLYPuFk9CQgKTJ08e0UXG3bt3ExwczMyZM6msrCQrK4t58+axadMmHnjgAfbs2cPkyZNH5P3OBfzCP8GaNWu4/fbb2blzJwaDgZKSEhYtWoRe24TT+intHRIHjsR7xK/WzkSpXTosocqyTH5+PoWFhaSlpTF+/Piz4v22tmoHbc6OzifDEP6pKCQFMbowkgJiSdRHoVUOfYvRYrFw+PBhOjo6mD59OlFRUcPqSxenir7rey4tLeXYsWMsXryY3//+97z77rvs37//gqn75xc+kJ2dzYIFC1i9ejULFizg4MGDLF68mKBAJ07LBwjRWTKqw6LyFr9uLirtwiG9V9coDzBz5kxCQkJG/PMMlo01e2iwmzqfjIDwu6OQFMTrI5kYnEyUNmxIN0ghBKWlpeTk5JCQkEB6evqwRv++RN9FXl4eFRUVLF68mNtuuw2TycTGjRvPqZ2T4XLBC7+pqYnZs2dz55138pOf/ISdO3cyY8YMYmOCcFg+QMhmr/N7in8xKu3sAd9HCEF+fj4FBQVndZTvzpa6A1RbGzqfjLDwuxOqCWJC8BhSAmJRDmFhtPvoP9QqvAOJHjr/Jt9++y1Op5MpU6awaNEili5dyiuvvDLo9zlXuaCF73Q6ufzyywkNDeW9995j586dJCYmMmFCCk7LR8juhl6vO1X8Gv1ylJppfb6Py+Xi0KFDtLa2Mnv27FETsru7MZOS9urOJ6dR+F1olRomBCUxMThl0GsBQgiKi4vJzc1lypQpJCcnD3jNYETfhcvlYufOnYSHhxMcHMzs2bP57W9/OyrSsZ9Ozn5Y1Vnkscceo6mpidWrV3Pw4EFCQkIYPz4Np/XzPkUPEGBwcdH0KurqAzleFI7Duhm3M6fXcy0WCzt37sTpdI66xBy+rsgPFbvbwVFTIWurdpBvLj+5o9APkiSRmprK3LlzycnJISsrC1nu+7qhiB5ApVIxd+5cqqqqAPj3v//NY489xs6dO4f24c4xLljhv//++3z44YesXbuW0tJSHA4HM2bMwO3YguwqG/D6U8XvtG7E7cz3OqexsZHt27cTHh7O/PnzR12tNY2kBrcAl0BynTD83ALk02sE2tx29jcd44ua3VRa6hmM0RkZGcmSJUtoaGhg7969nlLd3Rmq6LswGAzMnj2b7OxsJk+ezO9//3tuuukmGhsbh/zZzhUuSFO/traWyZMn8/rrrzNr1ixycnJYunQpWnUxTuumIbXV3eyfmGZCbViJUpVCWVkZWVlZZGRkMGbMmNPzQQaBLMueCLrW1lasVqsnzt5qsyL6ELlQgqySEGoQaglZI+HWS8gGCaEe2alAnD6SeeEZGFQDRxQ6nU4OHTqE2Wxm3rx5njj74Yq+O6WlpeTm5rJ06VJuu+029Ho977///pDbORe44IQvhOD6669Hr9fz5ptvsnXrVmbPnk1EuAKn5X2EcA65TW/xt1JRu4D8gjrmzp1LRETEafgUfSPLMs3NzZ74/La2NgBCQkIICQnBYDB44vLr3SYOmfM77T63ICjHhXmSCkmSkFwCyQmSU6BwgcIuUFhkFHYQKpD1Eq4gBa5gBULr+41Ao1QzOyydMYbYAXcAhBDk5ORQUVHBggUL0Gq1Pou+i4MHD+J0OklOTiYjI4PXX3+d7373u8Nub7RywQn/vffe4yc/+QnZ2dkUFBRgMBiYNm0yTsu/kN1Nw263S/w6nZP2Dg3z500lLDxtBHveNy6Xi7q6Ompra6mrq0OSJGJiYoiIiCAkJKTPktoVljq21x/qfDLYxT23QGkVKKwCVZuMskMgayRcwRKuEAWyQer07BkmyQExzA6bjG4AHwAhBMePH6e4uBi1Wk1oaKjPoofO4KwtW7aQnp7O7t27eeSRRzh27BiRkZE+tTvauKCEX1NTw+TJk3nzzTeZMWMG+fn5XHzxxeDegduR6XP7xwvDKK0wEhttZmq6GU3ATSiUp+8H09bWRklJCZWVleh0OmJjY4mJiSE0NLSH0N2yTIvdSqPNQqO1gw6Xg3pbK1mmQqZGGYe/qu8WqMydNwFVq4yslnCGK3CGKkA1vBuATqllceR0onX9pzKz2+1s2bIFl8vF4sWLR2zhtCuLz8UXX8ztt9+OWq3mww8/HJG2RwsXjPCFEFx33XUEBATwxhtveEz88LB2nJbPfG6/rDKEwpJQMibWkVcQ1Wn2j7OiCfgeCkWo7x/gBEII6uvrKSwspKWlhfj4eJKTk3uIvcVmpcTcTL21g0ZrB812C+5T5vM2t52ijkqWJUWNzHaeLFCZZNRNMkqbwBmqwBGpHNZUQJIkZoelMz4oqdfXu8/pAwMDKS0tZeHChSMWMt1l8o8ZM4aMjAz+9re/ceONN45I26OBCyYs97333mPfvn1kZ2dz+PBh4uPjiYwIwmH5xOe2q+sCKSwOZdb0GozBdgIDqjhwJB6AieP+gzbgJiSF7x56TU1N5OTk0N7eTmpqKhdddJEnq40QgjqLmeOmRopbm2mxWwdsTykpkTuLqjAiy3UKCVeYEleYEoVFRtMoE3DciTNcgSNKOaRFQSEEHa7eP0NvC3myLPPNN9+wdOnSEUk7NmXKFLZs2YLD4eDPf/4zP/rRj1i6dOl5Y/JfECN+W1sbqampvPbaa8yYMYOCgoITJv523I6jPrXd2qbl2yNxTJ9cS0T4yR+q14LfODfagJuRFMPL9NrW1kZOTg6NjY2kpaWRmprqcSu1uZxkNtWS21w/KLF3RxYy2a1FLEuKRik4LQ48CpuMpsaNql3giOy0AAbTfoIhmqWRM3pMWfpavRdCcPjwYdrb21m4cOGIJPjobvJ///vfJyIigtdff93ndkcDF8Q+/u9//3smTZrEVVddRU5OTmeCTEUzsjPLp3ZtdiWHs2JIS2n2Ej147/PnFShxWD5ByEMTptvtJicnhx07dhAQEMCll17KxIkTUavVdDgd7Kwu4c3cA3xTUzZk0QMoJAlJknCfxnu/rFNgS1FjGatC2S4IOO5E2da/406oJoiFEVP7FX3alHF0N1MkSWLatE7vySNHjgzKN2AgYmJiiImJ4dixY/zv//4v7777Lnl5eT3Oa2xsJCUlhdLSUs+x7OxsZs+eTWhoKE888cSI9GckOe+FX1dXx0svvcQLL7xAQUEBERERREZG4rJt8emP4XZLHMmKITzMQnJCa6/ndBd/br7oFL+wDar9lpYWtm/fTn19PUuWLGHKlClotVrMDjtbq4r4R+4BDtRX4XC7h/0ZQEIpKZDPwI9SDlBgTVXhiFaiL3OhrXB1Ogudgk6pZVnUrB5ehd1FnzQ5me2NuzhiyvL6GyqVSubMmUNjYyNFRUUj0u/09HTq6uoIDw/n7rvv5he/+IXX642NjVxzzTVeorfb7axYsYJZs2Zx4MABcnJyeOutt0akPyPFeS/85557ju985ztMmzaN0tJSJk2ahOzKQXbXDLtNIeDY8UgkCSZPaOh398pb/C4cljWeaL/ekGWZ3Nxcdu/eTXx8PEuWLCE4OBiH282O6hJW5x3gSEMNrn7cVoeCUlKe1hHfC0nCGa6kY4IahePE6G8++TmUkoKlkTMIUHmn5O4u+vj0BHY378Ml3JR0lJHT5j0C63Q65syZQ15eHnV1dT53uSs/YE5ODr/85S/ZsGED+/bt87x+yy239Mjd9+WXX9La2spLL71Eamoqzz//PG+++abPfRlJzmvhFxcX88Ybb/D888+Tl5dHfHw8QUEaXHbf/LArqoNpNumZnlHLYLaNvcR/3IbDsg4hXD3Oczgc7N27l5qaGhYvXsyECRNQKBSUtrXwzvFDHKyv6rEy7ytKSTHibQ6E0EhYx54Y/UtdqBvcIATzwjOI1HnvgHQXfcykOPa2HPDy8c8zF1DUXuJ1TWhoqKeWodU69CnQqaSlpdHa2opKpeLRRx/lySef9Fgar7/+Og8//LDX+ZmZmcybNw+DwQDA1KlTycnpPZbjbHFeC/+pp57illtuISEhgerqaiZOnIjbvhchW4bdpsWqIr8onCmT6tFqB29me4u/Haf1C4Q4eb3ZbGbHjh0olUoWL17sFadfazHT5rAPu8/9cUZH/O6cGP0tqSo09W5i6gwk6WO8Tuku+siJ0exvOdhrYE+mKZsme7PXsYSEBGJjY0dkvq/RaBg3bhw5OTk88cQTHD16lE2bOl27e6vO09bW5nVckiSUSiUtLS0+9WMkOW+Ff+TIET755BOefvppcnNzGTNmDHqdC7dz+I46QkB2XhRx0WbCQ4c+knQXf06eCad1Y+c2XF0dO3bsIC4ujjlz5vRIBDE7KoFI/enJ7num5vh9IRsUhEyNRW2X+Oabbzz1/bqLPmxCBAdMhxH0EVeAYF/zgZNpxE4wZcoU2traKC8v97mfY8eOxW6309HRwX//93/z5JNP9hkl2FVwtDs6nQ6LZfgDzkhz3gr/V7/6FT/84Q8JCAigqamJ8ePH43Ls9xplh0pFVTBWm4rxqcN37fUWfwPlpRv49ttvmTZtGunp6b261ioVCi5LGofiNOTjOxumfndCNUEsjp/ZmeZMr2fXrl20trZ6RB88zsjh1oG3XK1uG982H/Ia3dVqNdOnTyc7O7tfk/+NN94gMTERg8HAsmXLKC4u7nGOUqlk4sSJ5Obm8sMf/pCmpiY++aR3H5CwsDAaGrzDus1m86iKzjwvhV9QUMDGjRt5/PHHyc3NJS0tDY3ajuw8Nuw2LVYV+cXhZExsQKXyTShd4q+uCSIzy86MqTri4+P7vSZKH8ic6ESf3rc3zpqpj/cKvlKpZNasWYSEhLB9+3YCAgIwpAWRZR783Lje3kBhu7doo6OjiYuL69PkLyoq4plnnmHNmjXk5eWRmprKXXfd1Wv7Xfn/GxoaePTRR/nDH/7Q63mzZ89mz549nuclJSXY7fZRU00ZzlPhv/LKK9xwww0YDAZMJtOJ+ZYapWYmkjT0u64QcMwHE783zO1a3LKESiXT0FiFy75nwGvmnAaTX3WWTH1FLyv4DoeD1tZW9Ho9Ta1N5Lb03DMfiOy2XFqdbV7HMjIy+jT5Dx8+zLx585g5cyZJSUncc889FBYW9t5nhYK0tDSKioq4++67yczM5MCBAz3OW7JkCW1tbaxevRrozN58ySWXnPHiqv1x3gm/6wt/5JFHKC4uJjExEY1Gg6TQo9IuRhN4HyrtQiRp8FVcG5oMtHdofDLxu9PcoiM7N4ppk+uYO7OSuvpAjuUU4LT3/BF1ZyRMfkkWaO1Ogs02IpraSTUJ4moU6Es7dxl05S50ZS601S5ULW4ku+i8840w809Zwe+a04eEhBA+Kwq73omygF73+vtDFjLfNh/yWgRUq9VMmTKF3NxcXC7v3ZT09HS2bNnCkSNHaG1t5S9/+QuXXnppn+0nJCRgt9txuVzcdddd/OlPf+pxjkql4o033uC//uu/iIiIYM2aNfzP//zPkD7H6ea8c9n985//zDvvvMP27dv56quvWLZsWa+BG0I4cDuzcTsO9kio6X0efPNtIglxrSQntPV53mCxWFXsPZjA+LFNJMR1vm93996MydNRafvO3wfwTW0Z+2orBvV+SpebAKsTrd2FxuFC43QjKyTsGhUOjRKLcCJUdsL1WnTVbmwxCiQkJKdAaREobAIkPEk43AYFrmAJFMO/+UwOGcuM0Ame590X8kSKknJrBQiBogBQgjyWIYf6pgdPZFLweM9zIQQ7duwgNjaW8ePHe5374IMP8tprrwGdq/T79u3r1yc/JycHs9mM0Whk6tSpVFZW9np+l8vvvHnzRl3a7vNqxBdC8Pe//50HH3yQ8vJywsPD+4zWkiQNKs1MNAF3o9ZdiqQw9npedW0QbrdEYpzvone5JA5nxRAbZfaIHrwX/I4dO4LL0f+8dm5UIhH9mPySEAS224mpayOpyoTB4sClVNBi1FMeb6QsIZTa6GCaQwNoCtZQH+TGGdb5U3BGKHFEK7EnqLCMV9OeocaSqsIVqgAZtLUuAo850Va6UFiG7kSUYIhmuvGk8LqL3jWGTtEDSBLyWJAsoBiGr1W+uQCr+6SXpCRJpKenU1BQ4JW2a//+/axbt469e/diMpm49dZbueqqq/rdAkxJSaGuro7ExEQWLFjA22+/3et5MTExXH311aNO9HCeCX///v2UlZVx0003UVZWNqiMrJKkQqmZgibgLtT6q73i591uicKSUNJSmgflqNMfQkBWbhRajZsJaT2nDF3ir60P5Fj2AVyOgj7bUioUXJ7Y0+RXuGWMrRYSK1swtlqw6tSUx3eKvCXUgMWgxa1Seo2eAy7uKSRkgwJneOfNoGNCp989gKHIhaHAiapVHtR04FQf/C7RBwUHYU92UWWr9r5AJeFOA6kOpJbBGabvPP82v7v7OVzCzbFW7zWCyMhIQkNDKSg4+d2+//773HLLLcydO5eQkBCee+45ioqKyMzse9tXr9cTHR1NeXk5q1at4o033hh1vvgDcV4J//XXX+e2227DarXicrmIjY0d9LWSpECpnoDacDtqw3UolLFUVAejVsvERrf73LfyqhDM7VqmTq7r8yZyUvwBHMveg9tZ0vuJQJQhkNnRCZ1PhCCkzUpSVQt6q5OGiEAq44y0huhxq/r/EyslBfJQtvMkCTlAgT1BRXu6GmeIAm2VC8NxF4qOvi0AnVLj5YPfXfTWJCe19vreL9RLyCmgKAXs/fezNLeUjf9czz2/uQ+AcksFFpf33nl6ejolJSWe7T1ZlqmvP/neZrMZi8WCe4AYiOTkZMrKyrj++utpaGg457LynjfCdzgcfPzxx9x9992UlZWRlJQ0rDRMkiShVI1Fob2JkvIYxqepfMkkBXTO4QuKw8iYWI9G3b953F382Vm7cDsr+zx3blQiUUoNcXVtBJtt1EYFUxMTglWvGfSc2KftPKWEM0pJx0Q1rlAFhiIXmmpXjyy9nSv4Mz0r+F2iDwwOpCPJToOj/2y2wighwkBRRp+WhSzLvPazV7nmvpVEJ8cQo4tiefRSDCqD13lGo5GYmBjy8zszIi9evJhPPvmEP/zhD/zrX//iuuuuIyYmhqlTp/bbp67SXq2trdx22228++67/Z4/2jhvhL99+3YCAwOZOXMmtbW1JCQk+NReVVUVOp2B+KTr0QTchlI9vPx5Xd5+8TFthIUOLjLvpPgNZGdtw+3qOckVQlBaUkJwWT12rYrKWCM23dBLPykkCZ/DfRQSjmgllvEqVO0CQ77Ta/7ffQW/u+jNiVaaHM19teqFnACSDaQ+7hGb3tlAeV4ZY8aMwbKvjdnBMwlR915mPC0tjYqKChwOBzfccANPPvkkf/zjH7nrrrswmUx8+umnA5bRUigUHlfw6667js8//7zffP+jjfNG+OvWrWPFihU0NTWh0Wh8qi0vhKCoqIixY8ciSRIKZQxq/Uo0AXeiVE8aUonsssoQ7A4V41IH9wPv4qT49WQf3YLbddITrKOjg127dlFSUsKC+fNJmzgRMexVdglJjFDJb50CyzgVrlAlhsLO0T89KIWUwE7npC7RBwQF0JrQgcnZezhzrygl5DGgqKSHyW/tsPLxSx8wJiUFfbOWf/z5TRYtWtSnt57RaMRoNFJWVoYkSTz11FOUlZXhcDg4dOgQM2bMGFSXYmJiqKurY/HixVgsFg4dOjT4z3OWOS+EL4Rg7dq1rFy5ktraWmJiYnwqN93U1ITdbu9hNSiUEaj1V6IJuAulZirSAHXg7A4lhSVhZEyoR6Ucujl9Uvw6srO+Qna30Nrays6dOwkODmbZsmWEh4czJzqRCJ1h4Ab7QBrJn4F0cvTXdyhxFJhwu91eojcltNPm6nsLtS9EsIQIPSH+E+iUWmq3V+KwOti1fSfPPPMMX331FWazmXfeeafPtsaOHUtJSYlPi3KhoZ1WjNls5oorrmDt2rXDbutMc14IPzs7m4aGBi6++GKP8H2hrKyMxMTEPj2tJIURte4SNAH3otJc1Kc3YHFpKOGh1kGb+L3hEX+dlm+/3cTu3bsYO3Ys06ZNQ6XqXChT+ejYM6LCP0FIcAjLl1yM0+lk9+7d7Nq1C0OQgab4NtrdHf1e+9ztv2HrR5t7fU2OB6kNVB0K0oMncnn0chyNdubNm+epYaBSqZg6dWqfHnjQOVqfurA3VBQKBdHR0dTW1rJy5UrWrVs37LbONOeF8NeuXctll13m8ajypYiFw+Ggurp6cFuBikBUuiWdNwDtfCTpZJJHi1VFZU0Q48b67u0XYHAxPrWB2jotQYEW0lLjepwTbQhidtRw1zVGNvinawXfoNUzc+ZM2trasNvtNMaYsA6QfmzHp9s4sv1wn68rNEqMCUbCGkKYGDQOlUJFQkJCD7O+rKys3/gHhUJBUlISZWUDl0vrj5iYGGpra7nyyivJzs4ekUjAM8F5I/wVK1ZQW1tLVFSUT0UVqqqqMBqNQ0rT3OkOPB9N4L2odEuQFAEUloQRG9VOYMDQK/OcirldQ05+FGOTW7BYFGQdXY/ci4CGbfKLEUyu2W0F3263s2/fPsIiw3BqXTgL7f3W5TO3mPnns6uJS+1dsEmGBC6L/g4LMxZgbjN7IuCuvvpqcnJy+Nvf/kZlZSV/+tOfyMzMHLACTnJyMrW1tb3W4RsskZGRWCwW1Go1ixYtOmdG/XNe+F1ukVdfffWImPm1tbXExfUcUQeDJGlRaS7CLt9MXUMwaam+i95uV3IgM5YxiSbGjW05YfYrycr8Aln2nkIM3+QfuZ9BVxadrjm9LlBHY4IJV5pAcp3YkuuDfz77D+ZcPo/xMyZ4HY/RRbE8aimzw2YSoDKgVqsZP348ubm5CCEIDw9n/fr1vP3224wfP56XX36Zjz76iMTE/qMZAwICCA4O9ilFl1qtJiIigrq6unPK3D/nhb99+3amTp1KcHAwbW1tREdHD7stp9NJY2OjzzePkpJy4uMTCAn/AWr9FSiUw3PZFAJy8iMJM1oZm2wCus/5JbIy1yPL3qNVtCGIi6L6D/Ht7X1GwvNscshYxgbGe0SvDdTRENeCU7hAecILr7V3L7zsb46Stfsod/ziB55joRojiyPmszBiHkaNd12CMWPG0N7e7slqs3DhQvbs2YPFYqGoqIgVK1YMqs9dprovdM3zL7vsMnbs2NEjEGg0cs4L/+DBg1x00UWYTCYCAwN9SnbQ0NCAwWAgIGD4oa9Op5OKiooTW4FKlOp01IY7UetXoFAO7aZUUxeIqVXLpHGNXv44J8UvyM5cjyx7/9DmRicRPgSTXyEpfN7L7/LB7xK9JkBDQ1wzLrp5wKkl5CRQlAOuk+J32By89uRfWfX8D9EHGlApVIwNGMPFkYuJ0vUeLKNSqUhOTvY5m25MTAz19fU+7cGHh4djMpk8ORJ7S8E92jgvhD9r1ixMJpPPtdNGYqpQUVFBcHCwV18kSUKpHofacBsaw3dRqAZOqGG3K8ktiCB9QiMaTc8fZZf4a+rcZB/9Alk+KbAuk3+wFr9SUg7NbfcUunzw//Of/5CSksJll13GHffcSVlBT7tehIIIPCH+E/z75Q9JnZbGwssWMsM4lTh9DGHanvX/TmXMmDHU1tZ60nUNh5CQEFQqFY2N/XsP9kdQUBCyLGOz2Zg+fToHDx4cdltninNa+EIIDh06NCLCl2WZurq6Ifn390Z/wUGSJKFQjUFjuAmN4XsoVWN7PU8IOJYfSUSYhejIvre+POKvdZF99EuvUSvGEMRFkQOs8guBxuEizCZQmzqvVZplJMfgY/C7VvAL8vK55557uP+h+/n7/n8QOzaOv/6/P/e8QOoc9aW2kyb/rjU7OfjVAb4/6XvMTJjO+/96nx/96Ef86Ec/6ve9AwMDCQsLo6JicCHKvdFVWdgXc1+hUBAcHIzJZGLWrFl+4Z9uiouL6ejoICMjg9bWVp+EbzKZgJNOGb1hd/e/+ms2m2lvbx8wjRaAQhWP2nAdmoDbUaoneI1uNXWBtLZpmTR+4FHopPjtZB/d4CX+eTE9TX6V002oyUJcjYkx5c3E1bYR0+5Ga+oUobbWTUCuk4AcJ/piJ6pmd5/JMLpW8FVuBZ9++in3/+h+ptw5g5AoI5ffcQUl2T1z1wFeJn+KNpndO3eTk32MI0eOcOTIEVauXMkzzzzDM888M+DnT0hIoKqqasDz+iM6OtrnHPxGo/GcEv45XTTz4MGDZGRkIITAbrf75Kbb0tLSa3npLtxC5pPK7QSodMTrI4nTRxClC0XZzXuvrq6OyMhIj2PNYFAoo1Dor0aWF+B2fIvLnkthSRgTUpsGDOjpokv8B47Eg/QVGVMuRaFQeEz+DwoyUdtdhJosGKxOLAYNbUF67FoVTpUCq+wgTN9ObAFYxqlBAoVVoOwQaBpkdNVuHCcKX3avezcvPINgycDu3btZuHwhTfGtnuCgqqIqYlP63h1JiE/A0W5F36ghbVKq12uBgYFEREQMyh8jJiaGzMxMbDbbsItlhoWFYbFYcDgcw14jMhqNVFZWMmvWLI4cOYLb7R5VqbZO5ZwXfpeZHxQUNCTBncpAU4Umeysu4aLV2U6rs52cthKUkpIYXbjnRuBLcJBCEYpCdxn1jWOBHGKjhzZv9RI/m5ky9RIkSSJKF0C6Q0VHbRNtQTrKwwJ7hOqqJEX3tbbOGPwACTkAnJGKzhtArZuA405siSrcQQomh4wlXh3B7t27kQySl+idDifr/r6GFauu7dHPaF0UGcGTMGpCaBzfyP79+xk3bpzX324o5aa0Wi2hoaHU1tYyZsyYIXxjJ9FoNJ78jF1Rd0MlJCSE7Oxs5s6dixCCvLw8Jk+ePKy2zgTntKk/kgt7A7VRZ+sZZOMWbqqs9exvPsaasm00NTVRq2mjytqASx5eGu/CoipS0yajC7oXlXbOkJKDesz+mjayjm6ho6OD7du3o2630pEUTXNoQK/x+YoT5bJ7RZJwB56oexfVWfkmvE7DRF0Su3fvRuihOb7NKwz4o5feR2fQsfzWk7nrurbmFnXbmgsPD8dgMPjs7da1neYLXab6cAkODj6nFvjO6RE/NzfXUzTBFzddl8tFe3u7V/WaU6m19e96qzTLuPUSBY4qCuqqUEpKonVhxOkjiNdHEqQyDLhK3draitlsJikpCUmhRqVdhFJzEW5HJm7n4UFVAOoS//5DUF6xmcTEZKZMmUKdtZ0PC4/2umanlKT+HOo6kSScEUoM4UGoipxs2bIFTaiWtoQOL9Fn7T7KhrfX8/yaF1GpVQSoAsgInki8Pq7H55ckibFjx1JYWEhKSsqwA6tiYmI4fvy4T+a10Wj0qdKNQqEgKCiItrY2T2LP0cw5O+K73W7q6uqIi4vDarWi1w8+a+6ptLa2otVq+22j1dl/YInSInAFnPzhuoWbamsDB5pzWVO1g8+qdrCv6RgVljqccu8OHuXl5cTFxXnFgkuSDpV2bmc8gO5iJMXArsQKhTihRTcSJiRJIjYgmFmRfS06SigGEWqsU2pYGDUN6cTnOzXYpq68jj/+1/9x33MPMG7SOKYbp3BZ9MUkGOL7FHVcXBwWi4XW1iGE6J5CUFAQSqUSs3noEX9dhISE+NQH6EzJZbVaiYuLo6Zm+EVZzwTnrPAbGxtxu93Exsb6tLADA5v5TtnllbixN5RWgazve8Rqd1nIN5ezrf4QH1Vs5qva/RxrLcHkMCOEQJZlKisrSUpK6vV6SVKj0sxAE3APav1lKBS97z505vaLJjzMwrxZFdTUNJKdtRshBPNjkgnT9X5zU9D/SKmQFMwPzuDwvoO4DTLOdIFkBumEIWS32vnd3c8y57J53HnTHSwMmEs0kUgDBACpVCri4+N9MvclSSIkJMQnU91oNHoW+IaLTqfDZrMRFxdHdXX1wBecRc5ZU7+6uprQ0FC0Wi12u90n4VssFgIDA/t8vd01QBENIVBaBbZ+hN8dWcjU2pqotTVxqAUCVHoinYG4hUxQaN/TDeCEN2AGClU6sqsAt2M/svtkko6uMl8zp9SgUokTC34Ae8iYMp/LEsf1avIrBhgDLgqaQN7BbJw6Nx2J1s79+GSBohjcwYKsnZlU5ldQmV/BV//a6LmupKRkwEW32NhYsrOz+z1nIHydo2s0GjQaDR0dHcNe2dfpdLS3txMbG+sf8U8XNTU1xMbGery2Ti1SOBQGshjMA5j5CjsgQNYNb47a4bJS1VSLXevm44rNbKrdR3ZrMc2Otj596L2Tg16PQhmH1absUebLU66ruobs7H3EGIJ6Nfn7E/5EfRIVh4twaF0e0QOIkM7EGAFVOn55588RQvR4DGal3Wg00tHRgdM5/KAmo9Hos6neNWL7cr3dbj8nhH/Ojvg1NTXExcVhs9lQq9U+7ZkOKHxX/4tqCpvoFL0PWX+UVoHbICEQ1NmaqbM1c7jlOHqljjh9BHH6CGJ14WiV3qNRZ3LQFBTKMVQW7SUivK5Hma+TW30A3zI3fSbFbc0027qf1/v3F6eOoDW7FrvOiTXJ7vUZo3VRjJ+eyv5t+3B1uKB/Y6VPdDodOp2O1tbWYS/SdgVpCSGGvUjYJdzh0nXjSElJ8WRx8mVAOp2cVeGbzWZWrVpFQEAA1157LStXrhz0tV0jvq/ze+gUfn9/IPMApr7CKZCHnufSC6VFYI/uKT6r20ZReyVF7ZVISERojR6/gTBNsOdHLssy5RXNzJ+/BE3APNyO/bidJzPQnBS/BEhckjKej4uyPCZ/byN+iBSAnNeKXevEluTwiD5UYyQjeJIngCYxMZGSkhKmT58+7M/fNWIPV/g6nQ5ZlnE6nT1MdVnI2NwOHLILo6bvKZ1Wq/VpxO+6visnRG1t7aASuvSFL/oYiCGb+o2NjaSkpFBaWuo51l+Z4ezsbGbPnk1oaChPPPGEl+m6YcMGvvvd7/Lmm2+yb9++IfVjpITf5fXni6kvOQVC7UMyC7mzVJV7gDUCgaDB3sIRUz7ra77h35Vb2dWQSUl7NeXVleh0OkJDQ7slB/0BSnW6Jzlop/grqa6qoLmkkBkR3T3rvN9bJ6vQFdqxaR3YkjtFH6AKYG7YrB5Rc0lJSVRVVQ2Yi74/hrM4J4TA6rbTbG+jzmlCoVSQ2ZDP3sZjbKk7xBfV3/BxxVbeK9vEvyu28XVd/7UJR8LU75quREVFDdrc70sjvuhjIIYk/MbGRq655hov0fdXZthut7NixQpmzZrFgQMHyMnJ8fLKGj9+PNu3b2fz5s1DXlCpr68nKirKZ3PK5XLhdrv7FX7HACO+5ALZB+ErbAKUIIa4pmRz2ynpqGZXYyYHyo5iCXCTaSqkwW5CFjIKZThq/RVoAu5GqZmGJKm6ib8MY1MLoZrOz909757CJRFULLBrHdiTnWiVun635oxGI5Ik0dY2/DJj3RfnhBDY3Q5aHGaqrY0UmqvIMhWxrymHbfWHWV+9l/9UbOPdsk18XL6Vz6u/YUvdQZxKQX5TOfnmCiot9TTZ27C67B6rxuZ29Jt3wFfhd/0O7XY7UVFRg8rn159GfNHHQAzJ1L/lllu47bbbvO4+3csMA9xzzz3cdNNNAHz55Ze0trby0ksvYTAYeP7553nooYe4++67AZg2bRp33HEHBQUF/OxnPxtSx51OJ1qtFlmWfUq15XA4kCSpX3dfp+h/JFM4Be4AH+b3doFb69sagcIq6Ah3kNVaSFZrIRqF2rM2EKePRK9bjtDMxe04RKB0lIumV3LgiMTE6Dj2SsKTfktyCkIrwKF3II/pLD45LjAVlaLv70eSJI9w+wtyEkLgFG6sLhsWtx2r247FbcPqsmN2tNPe3s4nFduwuh24xdDj44UaFC5BX38tWcg4ZRcaZe/zMo1G49N2niRJKBQKZFlGq9UOarGyP434oo+BGJLwX3/9dVJSUnjkkUc8x7qXGU5JSfEqM5yZmcm8efMwGDojxKZOnUpOjndByHnz5jFv3rwhd9zlcqFSqRBC+CT8rhtHfwtC8gA/QskNQumLqU9fa2uDo2s70XDye3DITko7aijt6DQ3wzTBxOkjidNnEBFwESGao8yekcm3h2GSMZzyE7lHgsvAFeAiYXISk4InoFMOzpoKCgmmobkRQ2wIFlc3UbvtJ553ir0vV2bJJQgG2h3WYVfiFUoJaYCy2u5+Uo50idYXJElCCIFKpRpUJp6BNDJcfQzEkISfkpLS41h6ejo33nijpwhBV5lh6KxV3/0aSZJQKpWeSDhf6C58X3LoD+b6Pv3YPY3gU6JaSfYx36UbJEG/C4zNjjaaHW1ktxahUaiJ0YUTq7+UaRdVceRAM2HWTlNSF6Bh7px5BGs6PQTdshur23FSxG77KSN253MsdlRmmbya4WUV9nx+meFvMkt0/i36e59+/pZdovWFrjaUSuWghH86NdIfPq/qdy8zPHHiRF588UWuuuoq9u/fj0ql6jH/1ul0WCyWERF+93+HuwfcZer3d71wD1ANVpxIXDHAaNMn7s4a9MO9XuoKrROCPu3cbjjcDsqdNZSbT1gDySGo8jv3wOPSxpJnKqfZYabV2Y7dPbjvNcDkRmXx4Ts4ESygtMm49cNTvrpVRtkOjrC+zSen04lT9P56XV0dbW1tPvkTuFwuGhsb2bVrFyqViu9///v9nn86NdLv+/raQPcywwDPPfccf/3rX8nMzCQsLKyHR5bZbB6RhQqlUsmRI0eIjOxcXe6+4Dgc1q9f3+drg8nAZyhzMyjV9YO61besvMHHhpfk0cVJx5fCfSf/XroTj6EQcmz4c2SAwGLfElUq3P33YduxLQO20d9vYTBkZWWRlJTErbfeOuC5p1Mj/eGz8GVZ9spX1r3M8OzZs3n99dc9r5WUlGC32wkLC/P1bVGpVEyaNInU1FScTicZGRnDaqe9vZ3du3dz+eWX93nOJ5XbcMh9izKg0IU9UoErZJgjVbMbVZvAOmaYfw4hCMpx0ZGmQtb2PmfQKbXE6sKJ1UdglIIpK2smr6gaHc0ohZrWDomQICuSWoEjRCDFa0kOiGNsQCJB6v5vfU7ZxfH847RbLMROSPRMAWwuOxbZjs3twOK24+4nVFlyCYKPO2mdpB72HN9Q7sQVoMAR3veIf338EnSq3kVVW1tLYWEhixYtGtb7A2zcuJGFCxcSHx/fb7RnF6dTI/3hs/AXL17MD37wA2bOnEl0dDRvvPGGp8xw1xbP6tWrufvuu3n++ee55JJLRiQzSdf8vmsuNVB1075Qq9UIIfq9XqFSgrvvkUioTkzxh7vAp5SQhBj+9UjIOgmFXSCfWOCTkIjUGk8s6HU6+5g77BzLr2ZXcQ5ulxOjrg2tSk9TjQK3qlOUclogmqJ2HJKdgrgyCizlROnCSQtMIsEQ7ZVxqAs1auwdNuIio0k19p5IVAiBU3adWBs4sUbgsnued1gsOGlEoVYiDzRR7+tbkEGopH6/R61Gg7qPVX2FQoFSqRz2bwnw/Ja61qAGYsmSJadNI/3hs/BvuOEGcnNz+eMf/0hNTQ0ZGRleZYbfeOMNbr31Vp544gkUCgXbtm3z9S2BTsE6HA4UCoVPjiMajQZZlvv9QykHCFmVVRKSD1a6rO0ULUIMe0vPrZfQ2ZTEBCZ2uvfqw9EoOv8GDU1mth7Pp7SiqXMxExmjtpUAfSB15Z0rk+LEHLtVYSM1I5Gm7HJAxhmnoN7WRL2tCa1Sw9iABFIDk7ysACEEJpOJcePG9dk/SZLQKNVolGqM9PSeq6+vJ9NgYeWYS7DLzhO7Ad0WFN22brsFnf+euhAnuejXkUqSJNT9bEv6knoL8ERZKhQKnE7noISvUqlOm0b6fd/hXNT9C+8qM/zUU0/1eu7KlSspKiri4MGDzJs3j/Dw4RWXOJWIiAgaGxvRarU0Nw+tBHV31Go1CoUCm83WZ4ReoErfrxOPUHfu5Q8Xt05CcoHkHJoTj0JSEKUNJU4fgUJ2UVdezfyIzimPEILy6may86qpqT85h5eQCdG2EhwUfEL0XcdPCqbYVcfsmZM5fvAYXeJHkrC7HeS2FZPbVky0LoK0oCTi9dF0mNtxOp2DMm37ois0WpIkdEoNOqWGUE3fuQdkIWN3O712G/KOHSExJBqnDo9FYZNPOvDolJp+d3AGct0eiC4fAI1GQ0NDw6Ddj0+XRvrjjPjqx8TEcPXVV49om7GxsZSWlvrsXy1JkqeNvoQfpAqgjr5vLkItoejwYf9X2WmqK60Cl6b/ET9ApfeY7zG6cDQnRjCnwUlRTj7NLS00tjjIOl6NqdU7uKhL9CHBwZjqVLi7Zw3utp8oEOQ4KpkxdzpH9x2mu/i7qLM1UmdrRKfUYqzTEhkT5XPOw6GsYiskBXqVFr2qU6gul4tc9yHmxGR4iVcWMla3A6vbhnOAdGi+un/bbDZUKpXHT38oqdpPh0b645yNzouNjeWbb77x2c0SBnbVDFT1n91HVoHKxzJ5br2E0ir3WCBUSIrOFF66Tg+8EHVAr6OWLIM+IJQt27+l1dZzMc4z0gcH4+wIxNLRdsrr3m22u6zUyG1Mmp1BzrfZ9CZ+AJvDRmt1Bw2pSmz135IWmEScPnJQGX2609raOuxkmdApOkmSepjqCklBgEpHgGpgQdtsNp9yN3bFfDQ0NHiSxIxWzmnh19TUoNPpcDgcPrnuDhSOGaTuvxyVrJNQ2nybo8t6CaW502oIUhk8o3q0Lqzfeam5w8ax4zXkF9chu10YtVaUkha3OHlNl+gDA4MI1ERTUNwzeKS3Xhe2V5IYNYPEGWOpOFxMb+JX18rIenAboMZaT421HoNKx9iARFIDEzEMcNOEThPZYrH4JLq2tjaCgoJ8cubyNaFLl8VQU1OD0Wj0KR3c6eacFX5XXrPugRHD/aIHGvGDVAMLH9GZkEMexu9GKSkJDQ3G0Wji0rjFhPQTOnoqNXWtHMvvSvOkwuIyEKQxY7Ib6RzHO0WvNwSQHJfK/m8Ke22nrxRZe5qOsSJuAR0ZFpqza+kufkWHQNUksI1Xet0MLC4b2a0FHGsrJE4fRVpgEjG6iD6tAJPJhMFg8GlhbSQyLfs6x+8u/NE82sM5nIEnNjaWxsZGXC6Xz/N8g8FAR0ffobcD7WMjSch6CYV18PP8YHUgE4PHsDx6NjcnLmd5yjwkGeSOoc0ZUpMjCQ46ecOzujr/b1BZPKLXag0sWTCPQ/tLhtQ2dEa07W3KYX78THSTjChNAnW1DC4ZTbkbZ7QC0UfmISEEVZY6ttd/y+fV2znWWojV3dOyqq2t9SlLMnROFXxZXHQ6ndjtdo/P/HDoLvzhllo/U5yzwo+KikKSJGpra32e5w8UC65RqAYMVumco/e9sq+SVCQYopgbPpnr4pdybfxiZodNIk4fgUqhRKlUDivppFKpYMGs7jX4JMyOIHQqG0ZtC2qNjssuWUxgkJ5Lr55GZNTQqw1VWOops9SxNHEO0ngDyhaB7riM0IAranCmdYfLwlHTcdZUbWFXwyFqbY0IIXC73VRWVg5Yy74/urYTfRnxW1tbPZmAhkuXxVBdXT3qR/xz1tRXqVRERUVRXV2NTqfDah0gIWY/GI1GrFZrv7H9weoAbL2MVl24DRLqJu8R36gOIk4fSbw+gkhd6ID+AImJiezbt4+MjIwhOXDExxiZPD7OY/LLQoEsJJQKmdSUeNTqzj9zZFQwV6ycQUVpI/l5NdRWtwy6Su7+pjxWxi9gXvR09hTvQbIJ3MOwioWQqbDUUGGpIVAdQLQlGJVa5dMWlsViwel0+lRCbaSmCueKqX/OCh9gwoQJ5OTkMG/ePJ8SLarVagICAmhtbe2zhFK0Noz6XqrpdOEKUqCrcJOgjiQhOJo4feSgVpK7ExYWhk6no7Kycsgpm2ZPS6axuZ36RhMh2lYkhZa5c6dzNPMwba0mpk+fjl6vR5IkklIiSUqJxGF30dLcTrvZRnu7hdKKrL4/n3Cxo+AAynILoSFGapNa0RbLIPW+2j8Y2p0dOMvakEMUfNN0hLTAJKK0YUNeoOuaKviynejrVEGWZdra2ggODubYsWPccccdw27rTHDOmvqApzLpSGRYHcjcj9H17jsdpgkmIySVSxPnYTQaSXVHMS4occiih06fgtTUVAoLC4ccHqpUKlh00RjCDGaQ1Hxn2UJiY6L4zne+g06nY8uWLRQVFXmFimq0KqJjjaSOjyF9St+mtsIuMJQ7cRS3EDwmkqXzFjMldhL2NOXJOf8wwlkVFoHCInCGQ3lHNVvq9rK+ZgfH20oGrEzcndraWmJiYob8/t3xdcRvb28HICAgwFO6fTRzTo/4s2bN4pVXXiEkJIS2trbTWkIpUmdEKSlRSopuWW8jMHQTuOlEnfW+imIMhoSEBHJzc6mrqxvSj9lut3Po0LfERkeQNn4SxpDOBUm1Ws2MGTOIi4sjNzeX48ePk5iYSGxsLCEhIb37pQuB5ASVRUbTIqNql3GGKDCP19CuaWKis5304FTanO2UpVWiLXTT1z5/f6jqZVxhEqhOXtPmbOdQSw6ZpuMkGmJJC0oiQmPs0wpwOp00NTV58kEMB6fTSXt7u89l1kNCQigqKsLhcIzqgplwHgg/MzMTjUaDSqWira1t2DHMRqORoqKiPhNzKCUlV8UuIFht6HNbKiYmhoKCAp9uQEqlkvHjx5OVlTVo89Vut7N7926Cg4OZOXNmr/4M0dHRREVF0dTURHl5OQcPHvR4KwYGBno+c0CpE6VNILk7tykdIQos8RrECY9CIWR2N2RxVexc5oRPweyy0JzWPGTxK9pklG0C28Tevye3cFPaUUlpRyUhmiDSApMYExDviT/ooq6ujqCgIJ9W400mk88Le62trRiNRg4ePMjUqVN9CvQ5E5zTwh8/fjwqlYrc3FxP7bPhCj88PBy32+35A/ZGf6mZoTO3u06no7a2lvj4vurUDUxKSgrV1dXk5OQwderUfs8djOi7kCTJq+68zWajtbWV9vZOX/uamhqcwQpsMYrOjL99hMc2O9o4YipiVth4FkfOYpN7N9Y0y+DF7xZoKmQccQrPDaU/Wh1mDjYf44gpj2RDHGmBSYRpQpAkicrKSp8X0mpra4mOjvapDZPJRHJy8jlh5sM5PsdXKBTMmDHDM8/3pYSSQqEgKirKp3LLkiSRlJREWVnZsNvoamf69OmUl5d75To4laGIvjd0Oh3R0dGkpqaSmpoKdGavcQcoBoyJP9ZaQp2tBb1Sy9LIi1Dq1YOe82uqZIROwh0+tEU8t+ymuL2CTbW72Vi7m9zGQurr632aWgkhfF4jEEJ4jfh+4Z8BZs6cOSLCh05T3dc660lJSTQ1NXkWe4ZLYGAgkyZN4vDhw73mbvNV9L4iEOxqyDpRpCKY+eHTQacYUPyKNhmlSeBIHN5OQBctjlaOFebgDpI4ZiuixTG81N5msxm73e6TA1FXld7AwEAOHTrkyTg9mjnnhd+Vjzw0NNTnfGnR0dG0tbX55BOg0+mIi4vzKioyXMaOHYter++Rmfhsi76LdpeFA83HAUgwRDPNOBGhlfoW/xBN/H6RO92FHRFQaC5nQ81ONtXupri9os9Mvr1RW1tLZGSkT1uBLS0thISEUFxcjNVqHXY2qDPJOS/8JUuWcPDgQex2OwEBATQ0NAx8UR9oNBrCwsJ8HvXHjh1LeXm5T3XYoNPknzFjBhUVFZ7pw2gRfRcF5goqLJ2FIyYGpTA2MLF38csCbenwTPzeULYIhBLkoJNtNdlN7Gs6ymdVmznYfAyTwzxgOyOxFdi1RvDVV18xb968054vbyQ454WfnJxMeno6GzZsGBFTPSYmxudKp6GhoURERJCfn+9TO9C5Lzx37lyysrIoKysbVaLvYk/jMaxuO5IkcVFYBlG6cG/xV7nRlLnBJbCP8c3EB0AWqGtlnDG9t+WUneSbS/myZgdf1+7B1Mc0wGq1YjKZfFrYc7vdNDQ0EBMTw7p160a0vt3pZHT8cnxkxYoVrF27lpiYGOrq6nzKjZ6QkEBjYyMWS/8Vcgdi0qRJlJaW+twOdGYbmjZtGkeOHEGtVo8q0QNY3Xb2NuZ05kCUFCyKmEmgOqBT/KkKVE2gbAf7WIUPeQVPomoQCBW4jQO31eQwoe0jzqK8vJzIyEiftvEaGhrQarVIksTmzZtZsWLFsNs6k4yeX48PrFy5ki+//JKgoM5UTb6k4upa6fZ1ZT4kJIS4uDjy8vJ8agc6zfuCggLCwsJobW2lqqrK5zZHmnJLHcUdnbECWqWGpZEXoUaFukYgNJ0JftT1Ylgefl64BOr6wfsLJBni0PcifCEE5eXlPlWzhZNTha+++oqUlBTGjx/vU3tnivNC+BdddBF6vZ5du3YRHR3ts7mfnJxMeXm5z+WUJk6cSFVVlU+7Dd3n9AsXLmTu3LkcPXqU/Px8n6u+jDT7mnJpP5GbUO1SElamQeEE2zgl9nG+ufd2oa6TkfUSctDgfrrjg3oXdleWHF+38bo8LM8lMx/OE+ErFAquueYa1q1bNyLz/OjoaBQKhc9z/YCAANLS0jh8+PCwbiK9LeRFRkayYMECysvL2blzp2craTTglF3sqs+ivLycrVu3EhIQzMSLJoNK6n+1f5AoOgSqRoEjfnA/2zh9FOFaY6+vFRcXk5yc7NOUyWQy4XK5MBqNfP755+eMmQ/nifCh09xfu3YtERERWCwWn/bRJUli7NixFBUV+dyvCRMmAAx5oa+/1fvQ0FAuvvhiwsLC2L59+7CCek4HklPQnlfH0ewsZsyYwaxZs5gUmsq4oDEAvolfFp2JP2IUCP3AJr4kSUwPndjra+3t7TQ0NPRaC3IodK3m79+/HyEE8+fP96m9M8l5I/zly5dTXV1Nfn4+UVFRVFZW+tReUlISZrOZpqbhFYHsosu7sLCwcNARhIPZslMqlWRkZDB//nxKS0vP7ugvBOoWN0H5DoQSTOPV6MNPpsaeGTqJGH1nqbPhil9dKyMUg0/8kRqYSIi69/TchYWFxMXF+bSoJ4SgqqqK2NhY1qxZw1VXXeWTL8CZ5rwRvsFg4LrrruOtt94iKSmJ8vJyn0ZBtVpNamoqOTk5Po+mRqOR1NRUDh06NGAF1aHu04eHh7Ns2TLCwsLYtm0bBw8e9DlEedCcEHxgoRN9jQtrggpLkhq3UmZnw1FPjXuFpGBhxAyC1Z2xDkMVv6JdoGoQOJKUg1rQUylUZIT0vsjW3t5ORUWFz4twjY2NOJ1OIiIiePfddwdVJ280cd4IH2DVqlW8/fbbGI1GhBDU19f71F5qairt7e3U1dX53LcJEyagUqk4cuRInzeS4TrnqFQqMjIyuPjii1GpVOzcuZPdu3dTWVnpU5WhvpAcAm2di+A8B7o6F45QJW0TNThDTkbaNTvaOGo6OVXSKNQsibwIjbLTuWWw4pccAm2pG2fc4Ex8gPTg1F5X8gFyc3NJTEz07AANl7KyMhITE9mwYQNqtZrLLrvMp/bONOeV8JctW0ZISAjr1q0jKSnJ5wq6arWa8ePHj8ior1AomDNnDs3NzRQUFPR4fSQ88gIDA5k2bRqXXnopUVFRHD9+nA0bNnDo0CFKSkpoaWkZ1o1AcglUZhltnYuAYgfBxx2oLAJrnArzBA2OCGWvQT1ZpmIabCbP8yB1AIsiZnrCmgcUv1ugLXHjCpFwRQxO9HqljglBvc/dW1paqKur86y7DBe73U5NTQ3Jycm8/vrr3HPPPae91t1II4nRsCo0grzwwgt89dVXrFu3js2bN7N8+XKfYrXdbjdbtmxhwoQJPkWBddHa2srOnTuZNWuWJ5z0dLnhCiFoaWmhtrYWk8nkWYUOCgrCaDR6EnEolUqEEBw4cICOhM4KoAqHQGUVKK0yCie4NRJuvYQrQMIZouy3Rl13gtUBXBM336s2QHF7BfuajnqeS3aBttCN2yid3J8XAk2ZjOQU2FN7v7H0xsKImSQF9B6m+8033xASEuJzkoz8/HwaGhpITEwkLS2NoqIin5KFng3OO+E3NDSQlJTU+SPu6CAgIMDnP3RFRQW5ubksX758RO7s1dXVHDp0iAULFhAQEHDG3HCFEB43VZPJ5Alq6ioa2t7ejksvgaKzEKjbIOHWd8bmCx887iYEJTEvIt3r2OGWXPLaTgYyeYk/VkJdK1C2CGwTlF4ZevpjTEA88yOm9/pafX09Bw4c4JJLLvHJl16WZb766iumTp3Kyy+/zPHjx/n000+H3d7Z4rwTPsA999yDWq3m+eefZ9++fVx22WU+rbgKIdi+fTvR0dFMmjRpRPpYUlJCTk4OGo2G0NDQs+6G63Q6Wb9+PabJmhFxqz2VS6JnEW+I9DyXhczOhoNUW0+uw3SJX6hB4eh0/BHawfXFoNJxZeySHhl6oNNq27ZtG8nJyaSlpfn0OSorK8nNzWXBggUkJibyySefsGzZMp/aPBucV3P8Lh555BHeeecdhBAYDIYRSYwxY8YMioqKfI757yIuLg6lUonVaiUlJWVU+d6fDnY3HvNKoKmQFCyImI5RczIlttCAO1hCYQFX0OArB0uSxLzw6b2KHiAvL8+zS+MLQggKCwsZO3Ys7733HomJiSxdutSnNs8W5+Wvbdq0acydO5dXX32ViRMnkp+f71OcPnT63o8bN45Dhw75vFLeNaePiIhg8uTJ7N2716dw4nMBq9vG3qZcr2NqhZrFkbM6g2hE5wKfslVgH6tA2c6g9/mnhIwnWtd7Xv7m5mZKSkqYMWOGT3X1oHOKZrfbiY+P56WXXuLRRx/1uc2zxXkpfIBnnnmG3//+9ygUCgIDA0fEC2/cuHEoFAqfwm1PXchLTU1lypQp7Nu3j5KSoZe4Opco7aihuL3a61igysD80GloSwTKNoF9nBI5eOBMPl3E6qNID+59JHe73Rw6dIgJEyb4vH0nyzK5ublMmDCBd999F1mWuf32231q82xy3gp/8eLFLFmyhOeff5709HQKCwt9TozR5YVXVFTUbyruvuhr9T4pKYn58+eTl5dHZmamz8FBo5l9Tbl0uE6WO2tvbydn71GM6kCvOf1g9vk7U35N63PUzc3NRaPR+DyvBzylzSIjI/nNb37Dc889N+oz6fbHeSt8gN/97ne89tprmM1mIiMjRyQxRneTfyjTh4G27MLDw1m6dCktLS188803PqX/Gs04ZCffNGZ7klzu2LGD6OhoLl64jMnh47zO7U/8geoAlkXNQavsfSGgvr6e0tLSETHxXS4XeXl5TJo0iVdffZXo6GhuvPFGn9o825zXwp8yZQo33XQTv/rVrzyJMfqrijtYxo8fj8Fg4ODBg4Ny7BnsPr3BYGDRokUYDAa2bNnis9vxaKWmvYFt+3dx8OBBpkyZQkZGBpIkMSVkPIkG7z343sRvUOm4OGpOn9557e3tHDhwgKlTp/ps4kNnJJ9er0ev1/O73/2OF1544ZxfjD0vt/O6U1payqRJk9i/fz9OpxMhxIikP3Y6nWzfvp3Y2Nh+/QSG65xTW1vLkSNHMBqNTJs2Db1eP/BFPnC6t/O6ULW5MVS5kHUKFs2aT3SId3Zbl+xmc/0emu3e8QZdW32Eqrh41mKv3YBTP8eOHTuIiYkZkWo2DoeDr776ijlz5vDSSy/x7bff8vXXX/vc7tnm3L5tDYIxY8bwwAMP8N///d9MnDiRmpqaYc3PT0WtVjN37lzKysqoqKjo9RxfPPJiYmL4zne+g1qtZsuWLZ4KPecqCrvAUOYkoNyFLUpF+xgVBzoKkIX3eoZKoWRxxCz0Su/IOaGVcI/ToGtTUpnfuyXU5X1oMBhIT0/v8fpwOH78OKGhoTidTv70pz/xwgsvjEi7Z5vzfsSHTm++1NRU1qxZQ1xcHFVVVSxdunREvPDq6+vZv38/Cxcu9KriM5JuuPX19eTk5GC325k4cSKJiYkjbmqerhFfcgp09S40zTIOowJbtMortfZ0YxrTQnsuvjXZTWyu34v7RKpstULN0siL0Ls07N69m/j4eCZPnuw1fz927Bi1tbUsWbJkRBbempqa2LNnD0uXLuWRRx6hvb2djz76yOd2RwPn/YgPnSuxzz77LPfddx9xcXEoFAqOHz8+Im1HRUUxadIk9u3b50n+MdK+91FRUSxdupTJkydTUFDA1q1bqaioGNUWgOQU6GpcBB93IDnBPE6NNVHdI59+pqmIRnvPMOJwrbGzSAcQoDJwacx8InVhBAYGsnDhQqqqqjh27Jhn5C8pKaGsrIy5c+eOiOhdLheHDx9m4sSJ7Nmzh3//+9+8+OKLPrc7WrggRnzo3IddtmwZ06ZN47e//S07duzoMUoPFyEEOTk5VFZWMmfOHA4fPnzafO9lWaa8vJzCwkJcLhfJyckkJyf7FIgEIzTiC4GqQ6BpcqNuk3EFKbBFnijJ1Q8h6gCuiVuAStHTAituryRWH9ljIa+9vd0z8gcGBnLs2DHmz59PWFjv5cyHSlZWFiaTiSlTpjB16lR+8Ytf8MADD4xI26OBC0b40Jl5Zfr06Xz++efExcVRUVHBsmXLRsTkF0KQmZlJeXk5UVFRzJkz57QH3HRtWdXV1REREUFsbCwxMTHDWggctvCFQGkRqNtk1K0yklvgCFXiCFciD9LPHmBicDJzw4cWB9He3s6OHTtwuVwsWLDApzJY3eky8ZctW8Zjjz1GaWkpmzZtOme99Hrj3MkVNAKkpaXx/PPPc88993DkyBFqamrIy8sbsdXfpqYmDAYDra2tWCwWAgP7r67rC5IkER0dTXR0NFarlaqqKqqrq8nKyiI4OJjo6GgiIiIwGo0j62giBAonKC0yKrOM2iyDoHN0j1XiDBq44GZvFLdXM82Yiq6PffneaGxsRJZlVCoVtbW1hIeHj8ie/eHDh5k0aRK7du3iww8/JCsr67wSPVxgIz50msoXX3wxU6ZM4fnnn2fHjh0sWLDAJxOx+5x+xowZ5ObmUllZyYIFCwgO7n3b6XThcDior6+ntraW5uZmrFYrAQEBnvh7g8GAVqv11IPvilr0GvEVILk75+kKFyicAoW9MzZfaRVIbnDrJFyBCpzBCtwBkk/VcZIM0cwLT0ev6n1fvjeKiorIy8tj3rx5aLXaPhf8hkp3E3/KlCk89dRT3H///cNub7RywQkfOn8006ZNY926dSQkJFBaWsqSJUvQagf/w+uit4U8IQT5+fkUFhYya9Ysn2uz+YLdbveKv7dardhsNux2O7Iso1QqUSgUSJKEw+FAKAAZJEAoQFZLyCqQtSdj8906aVij+qnolVrmhE8i2RA9aLHKskxWVhbV1dXMnTvXc8PuPucfrvirq6s5fPiwZxW/oqKCjRs3nnejPVygwgd45ZVX+L//+z8OHDhAaWkpdrudBQsWDGlePtDqfVVVFYcPH2bChAmkpaWNqh+QEAKn0+m5ATidTnbv3k1bqgpUCmQ1IyLu3tArdWSEjGF8UGKvC3p9YbfbOXDgAE6nkzlz5vRY0PRF/N0zI+3Zs4e7776brKysEcm6NBq5YIUvyzLf+973aGho4Msvv2Tfvn2EhoYybdq0QV0/2C07k8nE/v37CQ8PZ/r06aM2N1uXqd86WYs4TV3UK3VMCUlhXFDCkAQP0NbWxr59+zAajcyYMaPPxCrDEb/dbmf79u0kJydjs9lYtGgR77zzDtddd92Q+ngucUHs4/eGQqHgrbfewmQy8dOf/pQ5c+ZQXV09qNDYoezTG41GlixZgsViYdeuXSNSRPN0opRG/idhUOqYG57ODQmLmRSSPGTRV1dXs3PnTpKSkrjooov6zabU1z5/X8iyzLfffktoaCihoaFce+21/OxnPzuvRQ8X8IjfRVlZGbNnz+bpp5/m5ptvZs+ePcydO5fIyMhezx+uc47b7SY7O5vKykomT55McnLyqDL9u0Z8y5QAHFL/uf8HS6TWSFpQPKkBcSiHKHboXKjMysqirq6O6dOnExcXN+hrBzPyd23Bmkwm5syZw5VXXkl0dDQffvjhqPrbnA4uqO283khOTuaTTz7h8ssvZ+LEiUyZMoUDBw6wZMkSAgICvM71xSNPqVQybdo0YmJiOHLkCNXV1UyfPt1nx5uRxtcR36gJIiUglpSAGILUw/9s3YOULr744iH7JnSN/Lt37wboVfylpaXU1tayePFiHnvsMcxmM+vXrz/vRQ/+Ed/DG2+8wZNPPsn+/fs9tdUWLVrkWekfSTdcp9NJdnY21dXVZGRkkJSUdNZ/bF0jvnNaCB3CNvAFJ1BICmJ0YSToI0kwRPokdvAe5TMyMkhMTPTpu+lr5K+pqeHgwYPMnz+fDz/8kKeffppvv/32vF3MOxW/8Lvx8MMPs3XrVnbs2EFRURFms5mFCxcihDgtKbDr6uo4cuQIgYGBTJ48GaPROCLtDocu4bunGzHLvScBCVDpMaoDMWoCCdUEEqIOxKgOHPKcvTdkWfakMR/pUORTxV9fX8+3337LrFmzOHbsGNdeey2bNm1i4cKFI/J+5wJ+4XfD5XJx3XXX0dzczJdffsnx48fp6OhAlmVCQkJOi++90+kkPz+fkpIST/ru0+nx118/1q9fT8KCCbgVArVChUpSolVqMKoDMKoD0ShHPtWUEIKamhpyc3MRQjBp0iTi4uJG3ALqEn9oaCj19fXMmDGDkpISrrzySv7yl79wxx13jOj7jXb8wj8Fm83GihUrcDgcfPLJJ+zZsweFQsF3vvMdn6qrDoTVauX48eNUVFSQlJTEhAkTTuv7nUqX8K+66qozlkuusbGRnJwcLBYLEyZM8Lle/UCUl5dz+PBhoqKiUCgUXHbZZfzv//7veemZNxAX7HZeX+h0OtasWQPAFVdcQUhICOHh4ezZs8fnZJ39odfrmT59OsuWLcNut/P111+TlZXlCfU9XxBCUFdXxzfffMO+ffuIiYnhkksuOe21BWprazl69Cjp6ekcPHiQyy67jGeeeeaCFD34R/w+MZvNnprna9as4fjx47S1tbFgwYLTngYLOgs8FhUVUVNTQ2RkJCkpKURFRZ22RcDTPeI7HA4qKiooKSnB5XKRkpJCSkqKT+WsBktXybIZM2ZQUVHBlVdeyS9/+Ut++tOfnvb3Hq34hd8PHR0drFy5EpvNxueff05paSn19fXMmTNnROL4B4PVaqW0tJSysjIUCgXJycmeGPSR5HQIX5ZlmpqaKC8vp7q6GqPRyJgxY4iPjz8jySq7Kt8cP36cWbNmUVBQwDXXXMPvfvc7HnroodP+/qMZv/AHwGq18t3vfpfGxkbWrFmDxWIhLy+P6dOnk5CQcMb6IcsydXV1lJeXU19fj8FgICYmhpiYGEJDQ30W0kgJv3t0YF1dHUqlkvj4eJKTk89opKLb7ebIkSM0NjYyd+5cdu3axa233spLL73EqlWrzlg/Rit+4Q8Cu93OqlWr2LJlC5999hmJiYkcOHCAlJQUJk2adMb34F0uFw0NDdTW1lJbW4sQwiv+PigoaMg3guEK3+l00traSktLC/X19TQ1NXnyAcTExGA0Gs/492O1Wtm/fz8KhYKLLrqIP/3pTzz77LP84x//4Oabbz6jfRmtXPCee4NBq9Xy9ttv8/vf/55ly5bxxhtvcPXVV7Nv3z7MZjMzZ848o1VVVCoVsbGxxMbGIoSgpaWF2tpaKioqyMrKQghBSEgIISEhGI1GgoOD0el0aLXaYVsGLpcLm83mKbPd2tqKyWSio6MDnU6H0WgkNjaWGTNmnFVvxObmZvbv3090dDTjxo3jvvvuY8eOHWzfvn1E0qqfL/hH/CGyfv16brvtNh566CGeeuopDh06hM1mY86cOWdl//1UhBC0t7d7idNsNuNwdFaq1Wq1Xok4umLxhRCUlpZ6YgicTic2m80Tu+9yuVAoFOh0Oq+bitFoHFYeg9NBRUUFmZmZTJo0Ca1Wy/XXX49areaTTz45qzkRRiN+4Q+D3NxcVq5cyaRJk/jnP/9JZWUlpaWlTJ48mTFjxpx199vekGUZu93uEXP3ZBxCCFwuF6WlpYwdOxalUolKpfLcHLoearV6VH42u91OVlYW9fX1XHTRRZSUlHD99ddz+eWX87e//W3U3JhGExes8N1uN/fff39nbfV587jvvvuGdH1LSwvf+973qKqq4j//+Q9hYWEcOXKEgICAs27uDoez4cAzElRXV3P06FFCQ0OZOnUq77//Pj/+8Y/57W9/yyOPPNLrjcpkMnH8+HHGjx/v8+6Mr7+js8U548CzZs0axo4di0qlYvr06eTm5vZ7HDp97yVJ8jy6V03tKp/8xhtvDKs8dWhoKOvXr+eaa65h1qxZvP32256Ivq1bt1JSUnJe1r0bLTgcDg4cOMCRI0eYPHkyCQkJ3HzzzfziF7/g008/7bN2/ccff8yYMWO47777SEhI4OOPP/a81tjYSEpKCqWlpV7XnM7f0VlDnAMUFhaK0NBQ8eGHH4ra2lpx0003iQULFvR5vIv58+eLL774QrS0tIiWlhbR1tbmea2urk7ccsstYufOneInP/mJT/3btWuXGDdunJg3b57Izc0VdXV1YuPGjWLXrl2io6PDp7bPFA6HQ3z22WfC4XCc7a4MSFVVlfjyyy/F3r17hcViEf/85z9FaGio+P73vy+ampr6vM5kMomIiAiRmZkphBBi9erVIjk5WQghRENDg5g7d64ARElJidd1Z+p3dCY5J4S/bt068dprr3meb9myRej1+j6PCyGE0+kUwcHBwmw299luVlaWePPNN0VLS4vPfezo6BCPPfaYMBgM4n//93+F1WoVhw8fFp9//rnIz88XTqfT5/c4nZwLwjebzWL//v3iiy++EOXl5aKqqkqsWLFCREdHi88++2zA68vLy8W7777reZ6ZmSkCAwOFEEIsX75cvPzyyz2Ef6Z/R2eKc0L4p/LXv/5VTJ06td/jhw4dEoGBgSI1NVXodDpx+eWXi7KystPet507d4px48aJ+fPni7y8PFFfXy+2bdsmNmzYIEpKSoTb7T7tfRgOo1n4VqtVHDlyRKxdu1YcPnxYWCwW8c4774jQ0FBx2223icbGxiG36XA4xF133SXuuOMOIYQQxcXFQgjRQ/hn63d0ujnnhG+320VaWpr4y1/+0u/xd999V8yaNUt88803Ij8/X1x99dXi8ssvPyN97D76P/nkk6K5uVlUVlaKr776Snz11VeiqqpKyLJ8RvoyWEaj8B0Ohzh27JhYt26d2Ldvn2hraxOHDh0Sl156qYiOjhaffvrpsNo9cuSICAsLEzExMT1G6VOFfzZ/R6eTc074Tz75pJg2bVqPH2hfx7soKysTCoVCtLa2noluCiGE+Pbbb8Xy5ctFaGioePHFF0V7e7soKSkRX375pdi2bZuor68/Y30ZiNEkfJfLJQoKCsQXX3whdu3aJZqbm0VBQYG45ZZbhF6vF0888US/c/mBkGVZHDhwQCxevFjccMMNXq/1Nsfvztn4HZ0Ozinhb968WQQFBYljx44N6nh3rFarAEReXt7p7mYPNm3aJGbOnCni4+PF66+/LqxWqzh+/Lj4/PPPxY4dO0RlZeVZnwKMBuHbbDaRl5cnvvzyS7F161ZRV1cnqqurxY9+9COh0+nEvffeKyoqKkbs/YqLi4UkSV6j/kDCP5u/o5HknBF+cXGxiIqKEv/85z8Hdfzxxx8X7733nuf5li1bhEKhOGur7G63W3zwwQciLS1NTJw4UfznP/8RdrtdFBQUiE2bNokNGzaI48ePC5vNdlb6d7aEL8uyaG5uFgcPHhRr164Vu3fvFrW1taKlpUX84he/EAEBAeL6668XOTk5Pr/Xtm3bxOOPP+55XllZ2WP0PlX4o+13NFKcE8K3WCwiPT1drFq1SpjNZs+jr+OyLIt33nlHpKSkiK+//lps3LhRjB8/Xtx1111n+6MIh8Mh/vKXv4jo6GgxZcoU8frrr4uOjg5RVVUldu3aJdauXSv2798v6urqzug6wJkWvsPhEEVFRWLLli1i3bp14siRI6K1tVWUlJSIn/70pyIkJEQsXbpU7NmzZ8Tes7q6WgQHB4vXXntNlJeXizvvvFNcccUVXuecKvzR+jvylXNC+J999pkAejz++Mc/9nq86w/35JNPipCQEBEWFiYefvhh0d7efnY/SDcsFot4/fXXxeTJk0V4eLj4+c9/LkpLS4XZbBbZ2dniyy+/FBs2bBBHjhwRdXV1wuVyndb+nAnhW61WUVpaKvbu3SvWrl0rtm/fLkpLS4XD4RBbtmwR119/vdBoNOLGG28UO3fuPC03vk2bNon09HQRFBQkbrzxxh7rLL2Z+qP5dzRcLliX3dGCEIKtW7fypz/9ifXr17N8+XJWrVrF1Vdfjclk8sS1OxwOoqKiiImJITo6esT9z0+Hy64QArPZTE1NDXV1dZhMJoxGIzExMcTGxmKxWHjrrbd44403MJlM3HPPPTz00EMXTIrrs4lf+KOI6upqVq9ezRtvvIHFYmHlypWsXLmS73znO7hcLk/8fWtrK6GhoURGRnqi5HQ6nU8BNCMhfFmWMZvNnuq89fX12O12IiMjPUlD6uvr+fzzz1m7di1btmxh8eLF3H///Vx77bX+YJoziF/4oxBZltm+fTtr165l7dq1VFdXc+mll7JixQquueYajEYjdXV1NDU10draitlsRqvVYjQavcJlh3IzGKrwTxV5a2srra2tSJLk6UdUVBTh4eFkZmaydu1a1q1bx9GjR1m4cCErV67k+uuvZ+zYsb5+XX6GgV/4oxwhBLm5uZ6bwP79+5k5cyZXX301c+fOZdasWYSGhnpi77vH4CsUCq/Y++7/1+l0KJVKTzy+2+1m9+7dnlLhQggcDodXCG/3/9vtdlQqledG0/WvwWCgoKCAgwcPsnPnTtatW4fZbObKK69kxYoVXHnllYSHh5/tr/WCxy/8c4z6+nq++OILNm7cyIEDBygqKiIxMZFZs2Z5PcLDw7Farb0Kt+vhdrsRnQu8yLKM0+n0ZOmRJAm1Wu11ozj1xqFWqz0i73ocPnwYp9PJtGnTmDdvHtdccw1Lly49I9l0/Qwev/DPcUwmE4cPH/YSX0FBAXFxcSQmJnpSdMXFxXn+3/UwGAyoVCpUKhVCCL744gsuvfRSJEnC5XJhMpmorq6mpqaGmpoar//X1NRQXFyMy+Vi2rRpXjed9PT0cyqm/0LEL/zzkNbWVrKysqiqqvISanfxtrS0DNiOUqkkOjq615tGbGysJ9lof/Xq/YxO/MK/QOmap7tcLlwuF06nE4VC4bEAVCoVBoMBpdL3gph+Rh9+4fvxcwFyzqTe8uPHz8jhF74fPxcgfuH78XMB4he+Hz8XIH7h+/FzAeIXvh8/FyB+4fvxcwHiF74fPxcgfuH78XMB4he+Hz8XIH7h+/FzAeIXvp8+qays5IYbbuCuu+5i//79Z7s7fkYQv/DPI3orGf7WW295lXjuerz11lsAbN++nUmTJhEREcFLL73k1d7777/Pz372M1avXs3atWvPwifyc7rwC/88oaioiLvvvpsXXniBqqoqxo8fz3333cdtt91GS0uL51FRUUFERASLFy+moaGBlStXcuutt7Jnzx7ee+89tm7d6mlz4sSJbNiwgc8++4y4uLiz+On8jDhnLJG3n9NKfyXDu/Pb3/5WrFq1SgghxB/+8AcxceJET/76zz77THz/+9/3On/Tpk3io48+Ou15/f2cWfypU84TrrnmGq/nx48fZ9y4cV7HbDYbL7/8Mvv27QMgMzOTiy++2JOJd86cOTz55JNe11x66aWnsdd+zhZ+U/88xOFw8Pvf/54HH3zQ6/i//vUv5s6dy5gxYwBoa2sjJSXF83pwcDDV1dVnsqt+zhJ+4Z+H/PrXvyYgIID77rvP6/jf/vY3r5uBSqXyKmKh0+mwWCxnrJ9+zh5+U/88Y8uWLbz66qvs3bvXK9NtYWEhhYWFXqZ7WFgYDQ0Nnudms9mfBvsCwT/in0eUlJRw66238uqrr5Kenu712kcffcQ111zjdTOYPXs2e/bs8Tw/fPgw8fHxZ6y/fs4efuGfJ1itVq655hquvfZarr/+etrb22lvb0ecyKW6YcMGli1b5nXNypUr2b17N19//TVOp5MXX3yRyy+//Cz03s+Zxp9l9zxhzZo1XHfddT2Ol5SUEB0djdFoJDMzk4kTJ3q9/re//Y2HH36YwMBAjEYje/bsITo6+gz12s/Zwi98P5SUlJCXl8fixYsJDAw8293xcwbwC9+PnwsQ/xzfj58LEL/w/fi5APEL34+fCxC/8P34uQDxC9+PnwsQv/D9+LkA8Qvfj58LEL/w/fi5APEL34+fC5D/D8UPDA8eg4piAAAAAElFTkSuQmCC",
      "text/plain": [
       "<Figure size 640x480 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "\"\"\"\n",
    "极坐标上绘制柱状图,还是调用bar函数,第一个参数是柱所在的角度,\n",
    "第二个参数是极径长度,第三个参数是画出来的扇形的宽度\n",
    "\"\"\"\n",
    "# Fixing random state for reproducibility\n",
    "np.random.seed(19680801)\n",
    "\n",
    "# Compute pie slices\n",
    "N = 10\n",
    "# fig, axs = plt.subplots(2)\n",
    "theta = np.linspace(0.0, 2 * np.pi, N, endpoint=False)\n",
    "radii = 10 * np.random.rand(N)\n",
    "width = np.pi / 4 * np.random.rand(N)\n",
    "colors = plt.cm.viridis(radii / 10.)\n",
    "\n",
    "ax1 = plt.subplot(2,1,1,projection='polar')\n",
    "ax1.bar(theta, radii, width=width, bottom=0.0, color=colors, alpha=0.5)\n",
    "ax1.set_title(\"极坐标绘制柱状图\")\n",
    "# width = 0.5 * width\n",
    "# radii = 0.5 * radii\n",
    "# ax2 = plt.subplot(2,1,2,projection='polar')\n",
    "# ax2.bar(theta, radii, width=width, bottom=0.0, color=colors, alpha=0.5)\n",
    "# plt.show()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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",
      "text/plain": [
       "<Figure size 705.875x600 with 1 Axes>"
      ]
     },
     "metadata": {},
     "output_type": "display_data"
    }
   ],
   "source": [
    "import seaborn as sns\n",
    "sns.set_theme(style=\"whitegrid\")\n",
    "\n",
    "penguins = sns.load_dataset(\"penguins\")\n",
    "\n",
    "# Draw a nested barplot by species and sex\n",
    "# catplot可以用于画柱状图、箱线图、小提琴图等\n",
    "# 这里传入的hue='sex'，既规定了颜色的取值依据，也指定sex为另一个柱状图作图指标\n",
    "# 从而实现了分组柱状图\n",
    "g = sns.catplot(\n",
    "    data=penguins, kind=\"bar\",\n",
    "    x=\"species\", y=\"body_mass_g\", hue=\"sex\",\n",
    "    errorbar=\"sd\", palette=\"dark\", alpha=.6, height=6\n",
    ")\n",
    "g.despine(left=True)\n",
    "g.set_axis_labels(\"\", \"Body mass (g)\")\n",
    "g.legend.set_title(\"\")"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
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